MNSTR.TECH — a place where technology and bold ideas are changing iGaming. We create products that enhance user experience and improve gameplay, not just becoming part of the industry but setting its new direction. Innovation, unconventional thinking, and a true passion for what we do are in our DNA.
At MNSTR.TECH, we turn challenges into opportunities, open new horizons for players, and shape the future of iGaming.

We are currently seeking a Data engineer to set up and develop the workflow with databases. 

Key Responsibilities:

• Design, develop, and maintain robust data pipelines to efficiently collect, transform, and store data from various sources
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and ensure data availability
• Ensure data quality, integrity, and security throughout the data lifecycle by implementing appropriate validation and monitoring processes
• Optimize and tune data models and ETL processes for performance and scalability
• Build and maintain data warehouses and databases to support analytics and reporting needs
• Develop and maintain documentation for data engineering processes, data models, and data flows
• Implement data governance practices to ensure compliance with data policies and regulations
• Stay updated on emerging technologies and best practices in data engineering and analytics.

You have:

• 2-4 years of experience in data engineering, ETL development, or a related field
• Experience in iGaming or a similar fast-paced industry is a plus
• Demonstrated experience in working on cross-functional data projects and collaborating with various teams
• Familiarity with data governance frameworks and practices to ensure compliance with data policies
• Experience in optimizing data pipelines and databases for performance and scalability
• Proficiency in designing and building scalable data pipelines using tools such as Apache Kafka, Apache Airflow, or AWS Glue
• Strong skills in ETL (Extract, Transform, Load) processes and tools, such as Talend, Informatica, or custom scripts
• Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
• Knowledge of data modeling techniques and best practices for designing efficient data schemas
• Proficiency in programming languages such as Python, Java, or Scala for data manipulation and pipeline development.
• Ability to implement data quality checks and monitoring processes to ensure data integrity
• Familiarity with cloud platforms like AWS, Google Cloud, or Azure for data storage and processing
• Strong teamwork abilities to work effectively with data analysts, data scientists, and other stakeholders
• Strong analytical and problem-solving skills to troubleshoot data issues and optimize processes

Company offers:

• Work with a global iGaming brand in a dynamic international company
• Paid vacations and sick leaves
• Industry events attendance 
• Ability to help in building and growing the department from scratch